| 摘 要: 针对学生职业能力评价方面存在的层次少、指标粗、数据难获取等问题,从职业能力的内涵着手,系统 梳理了国内外研究的阶段性成果,设计了依托大数据平台的由目标层、领域层、类型层和指标层组成的四层评价指标 体系,包括基础素质、专业水平、方法运用能力、社会交往能力、可持续发展能力五个领域层指标,20个类型层指标和 96个指标层指标,运用德尔菲法与层次分析法确定了指标权重。这种评价指标体系的优势在于,指标内涵明确,层次清 晰,指标值可从大数据平台得到,客观真实。最后探讨了数据处理方法和评价过程相关问题。 |
| 关键词: 大数据;职业能力;评价指标体系;智慧教育 |
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中图分类号: TP392
文献标识码: A
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| Research on Assessment Index System of Students' Professional Competence based on Big Data |
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HU Fuxiang, CHEN Chaoqun
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( Changsha Commerce & Tourism College, Changsha 410116, China )
1059702586@qq.com; 65881573@qq.com
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| Abstract: In order to deal with the dif culties of collecting students' data with few structures and rough indicators, for students' professional competence assessment, the paper proposes an assessment index system. It starts with the connotation of professional competence, summarizes periodical achievements made by domestic and international students on learning topics, and then designs a framework of 4-level assessment index system based on big data analysis. The framework consists of target layer, domain layer, category layer and indicator layer. There are ve indicators at domain layer, it contains of indicators of essential quality, professional level, application ability, social communication skills and sustainable development ability. There are 20 indexes at the category layer, 96 indexes at the indicator layer. Delphi method and analytic hierarchy process are used to compose the weight of each index. The advantages of this assessment index system are that the index has clear connotation and levels, the index value can be obtained from big data analysis, which is objective and practical. At last, the paper speci es the data processing method and the evaluation process. |
| Keywords: big data; professional ability; index evaluation system; intelligent education |
